def test_get_point_large_scan(self):
s = SpiralGenerator(["x", "y"], "mm", [0, 0], 6, 1) #114 points
z = LineGenerator("z", "mm", 0, 1, 100)
w = LineGenerator("w", "mm", 0, 1, 5)
t = LineGenerator("t", "mm", 0, 1, 5)
rad1 = 2.8
r1 = CircularROI([1., 1.], rad1)
e1 = ROIExcluder([r1], ["x", "y"])
rad2 = 2
r2 = CircularROI([0.5, 0.5], rad2)
e2 = ROIExcluder([r2], ["y", "z"])
rad3 = 0.5
r3 = CircularROI([0.5, 0.5], rad3)
e3 = ROIExcluder([r3], ["w", "t"])
g = CompoundGenerator([t, w, z, s], [e1, e2, e3], [])
g.prepare()
spiral = [(x, y) for (x, y) in zip(s.positions["x"], s.positions["y"])]
zwt = [(z/99., w/4., t/4.) for t in range_(0, 5)
for w in range_(0, 5)
for z in range_(0, 100)]
expected = [(x, y, z, w, t) for (z, w, t) in zwt for (x, y) in spiral]
expected = [{"x":x, "y":y, "z":z, "w":w, "t":t}
for (x,y,z,w,t) in expected if
(x-1)*(x-1) + (y-1)*(y-1) <= rad1*rad1 and
(y-0.5)*(y-0.5) + (z-0.5)*(z-0.5) <= rad2*rad2 and
(w-0.5)*(w-0.5) + (t-0.5)*(t-0.5) <= rad3*rad3]
points = [g.get_point(n) for n in range_(0, g.size)]
pos = [p.positions for p in points]
# assertEqual on a sequence of dicts is *really* slow
for (e, p) in zip(expected, pos):
self.assertEquals(e.keys(), p.keys())
for k in e.keys():
self.assertAlmostEqual(e[k], p[k])
def test_horrible_scan(self):
lissajous = LissajousGenerator(["j1", "j2"], "mm", [-0.5, 0.7],
[2, 3.5], 7, 100)
line2 = LineGenerator(["l2"], "mm", -3, 3, 7, True)
line1 = LineGenerator(["l1"], "mm", -1, 2, 5, True)
spiral = SpiralGenerator(["s1", "s2"], "mm", [1, 2], 5, 2.5, True)
r1 = CircularROI([1, 1], 2)
r2 = CircularROI([-1, -1], 4)
r3 = CircularROI([1, 1], 2)
e1 = ROIExcluder([r1], ["j1", "l2"])
e2 = ROIExcluder([r2], ["s2", "l1"])
e3 = ROIExcluder([r3], ["s1", "s2"])
g = CompoundGenerator([lissajous, line2, line1, spiral], [e1, e2, e3],
[])
g.prepare()
l2_f = True
l1_f = True
s_f = True
points = []
for (j1, j2) in zip(lissajous.positions["j1"],
lissajous.positions["j2"]):
l2p = line2.positions["l2"] if l2_f else line2.positions["l2"][::-1]
l2_f = not l2_f
for l2 in l2p:
l1p = line1.positions["l1"] if l1_f else line1.positions[
"l1"][::-1]
l1_f = not l1_f
for l1 in l1p:
sp = zip(spiral.positions["s1"], spiral.positions["s2"]) if s_f \
else zip(spiral.positions["s1"][::-1], spiral.positions["s2"][::-1])
s_f = not s_f
for (s1, s2) in sp:
points.append((s1, s2, l1, l2, j1, j2))
self.assertEqual(
lissajous.size * line2.size * line1.size * spiral.size,
len(points))
points = [(s1, s2, l1, l2, j1, j2)
for (s1, s2, l1, l2, j1, j2) in points
if (j1 - 1)**2 + (l2 - 1)**2 <= 4 and (s2 + 1)**2 +
(l1 + 1)**2 <= 16 and (s1 - 1)**2 + (s2 - 1)**2 <= 4]
self.assertEqual(len(points), g.size)
generated_points = list(g.iterator())
self.assertEqual(len(points), len(generated_points))
actual = [p.positions for p in generated_points]
expected = [{
"j1": j1,
"j2": j2,
"l2": l2,
"l1": l1,
"s1": s1,
"s2": s2
} for (s1, s2, l1, l2, j1, j2) in points]
for e, a in zip(expected, actual):
self.assertEqual(e, a)
self.assertEqual((181, 10), g.shape)
def test_separate_indexes(self):
x1 = LineGenerator("x1", "mm", -1.0, 1.0, 5, False)
y1 = LineGenerator("y1", "mm", -1.0, 1.0, 5, False)
z1 = LineGenerator("z1", "mm", -1.0, 1.0, 5, False)
x2 = LineGenerator("x2", "mm", -1.0, 1.0, 5, False)
y2 = LineGenerator("y2", "mm", -1.0, 1.0, 5, False)
x3 = LineGenerator("x3", "mm", 0, 1.0, 5, False)
y3 = LineGenerator("y3", "mm", 0, 1.0, 5, False)
r = CircularROI([0, 0], 1)
e1 = ROIExcluder([r], ["x1", "y1"])
e2 = ROIExcluder([r], ["y1", "z1"])
e3 = ROIExcluder([r], ["x1", "y1"])
e4 = ROIExcluder([r], ["x2", "y2"])
e5 = ROIExcluder([r], ["x3", "y3"])
g = CompoundGenerator([x3, y3, y2, x2, z1, y1, x1],
[e1, e2, e3, e4, e5], [])
g.prepare()
p = [(x / 2., y / 2., z / 2.) for z in range_(-2, 3)
for y in range_(-2, 3) for x in range_(-2, 3)]
m1 = [x * x + y * y <= 1 for (x, y, z) in p]
m2 = [y * y + z * z <= 1 for (x, y, z) in p]
expected_mask = [(b1 and b2) for (b1, b2) in zip(m1, m2)]
self.assertEqual(expected_mask, g.dimensions[2].mask.tolist())
p = [(x / 2., y / 2.) for y in range_(-2, 3) for x in range_(-2, 3)]
expected_mask = [x * x + y * y <= 1 for (x, y) in p]
self.assertEqual(expected_mask, g.dimensions[1].mask.tolist())
p = [(x / 4., y / 4.) for y in range_(0, 5) for x in range_(0, 5)]
expected_mask = [x * x + y * y <= 1 for (x, y) in p]
self.assertEqual(expected_mask, g.dimensions[0].mask.tolist())
def test_inner_alternating(self):
z = LineGenerator("z", "mm", 1, 5, 5)
y = LineGenerator("y", "mm", 1, 5, 5, alternate=True)
x = LineGenerator("x", "mm", 1, 5, 5, alternate=True)
r1 = CircularROI([3, 3], 1.5)
e1 = ROIExcluder([r1], ["x", "y"])
g = CompoundGenerator([z, y, x], [e1], [])
g.prepare()
expected = []
xy_expected = []
x_f = True
for y in range_(1, 6):
for x in (range_(1, 6) if x_f else range(5, 0, -1)):
if (x - 3)**2 + (y - 3)**2 <= 1.5**2:
xy_expected.append((x, y))
x_f = not x_f
xy_f = True
for z in range_(1, 6):
for (x, y) in (xy_expected if xy_f else xy_expected[::-1]):
expected.append({"x": float(x), "y": float(y), "z": float(z)})
xy_f = not xy_f
expected_idx = []
xy_f = True
for z in range_(0, 5):
xy_idx = range_(len(xy_expected)) if xy_f \
else range_(len(xy_expected)-1, -1, -1)
expected_idx += [[z, xy] for xy in xy_idx]
xy_f = not xy_f
points = list(g.iterator())
self.assertEqual(expected, [p.positions for p in points])
self.assertEqual(expected_idx, [p.indexes for p in points])
def test_from_dict(self):
g1 = LineGenerator("x1", "mm", -1.0, 1.0, 5, False)
g1_dict = g1.to_dict()
g2 = LineGenerator("y1", "mm", -1.0, 1.0, 5, False)
g2_dict = g2.to_dict()
r = CircularROI([0, 0], 1)
excl_1 = ROIExcluder([r], ["x1", "y1"])
excl1_1_dict = excl_1.to_dict()
mutator_1 = RandomOffsetMutator(0, ["x"], {"x": 1})
mutator_1_dict = mutator_1.to_dict()
_dict = dict()
_dict['generators'] = [g1_dict, g2_dict]
_dict['excluders'] = [excl1_1_dict]
_dict['mutators'] = [mutator_1_dict]
_dict['duration'] = 12
_dict['continuous'] = False
units_dict = dict()
units_dict['x'] = 'mm'
units_dict['y'] = 'mm'
gen = CompoundGenerator.from_dict(_dict)
self.assertEqual(gen.generators[0].to_dict(), g1.to_dict())
self.assertEqual(gen.generators[1].to_dict(), g2.to_dict())
self.assertEqual(gen.mutators[0].to_dict(), mutator_1.to_dict())
self.assertEqual(gen.excluders[0].to_dict(), excl_1.to_dict())
self.assertEqual(gen.duration, 12)
self.assertEqual(gen.continuous, False)
def test_alternating_regions_2(self):
z = LineGenerator("z", "mm", 1, 5, 5)
y = LineGenerator("y", "mm", 1, 5, 5, True)
x = LineGenerator("x", "mm", 1, 5, 5, True)
r1 = CircularROI([3, 3], 1.5)
e1 = ROIExcluder([r1], ["x", "y"])
e2 = ROIExcluder([r1], ["z", "y"])
g = CompoundGenerator([z, y, x], [e1, e2], []) #20 points
g.prepare()
actual = [p.positions for p in list(g.iterator())]
expected = []
yf = True
xf = True
for z in range_(1, 6):
yr = range_(1, 6) if yf else range_(5, 0, -1)
yf = not yf
for y in yr:
xr = range_(1, 6) if xf else range_(5, 0, -1)
xf = not xf
for x in xr:
expected.append({
"x": float(x),
"y": float(y),
"z": float(z)
})
expected = [
p for p in expected if (p["x"] - 3)**2 +
(p["y"] - 3)**2 <= 1.5**2 and (p["z"] - 3)**2 +
(p["y"] - 3)**2 <= 1.5**2
]
self.assertEqual(expected, actual)
def test_staticpointgen_in_alternating(self):
x = LineGenerator("x", "mm", 0, 1, 3, True)
y = LineGenerator("y", "cm", 2, 3, 4, False)
m = StaticPointGenerator(5)
r = CircularROI((0.5, 2.5), 0.4)
e = ROIExcluder([r], ["x", "y"])
g = CompoundGenerator([y, m, x], [e], [])
g.prepare()
expected_positions = []
x_positions = [0.0, 0.5, 1.0]
direction = 1
for yp in [2.0, 2 + 1. / 3, 2 + 2. / 3, 3.0]:
for mp in range_(5):
for xp in x_positions[::direction]:
if (xp - 0.5)**2 + (yp - 2.5)**2 <= 0.4**2:
expected_positions.append({"y": yp, "x": xp})
direction *= -1
positions = [point.positions for point in g.iterator()]
self.assertEqual(expected_positions, positions)
self.assertEqual(len(expected_positions), g.size)
self.assertEqual((len(expected_positions), ), g.shape)
self.assertEqual(["y", "x"], g.axes)
self.assertEqual({"y": "cm", "x": "mm"}, g.units)
self.assertEqual(1, len(g.dimensions))
def test_excluder_spread_axes(self):
sp = SpiralGenerator(["s1", "s2"], ["mm", "mm"], centre=[0, 0], radius=1, scale=0.5, alternate=True)
y = LineGenerator("y", "mm", 0, 1, 3, True)
z = LineGenerator("z", "mm", -2, 3, 6, True)
e = ROIExcluder([CircularROI([0., 0.], 1.0)], ["s1", "z"])
g = CompoundGenerator([z, y, sp], [e], [])
g.prepare()
s1_pos, s2_pos = sp.positions["s1"], sp.positions["s2"]
s1_pos = np.tile(np.append(s1_pos, s1_pos[::-1]), 9)
s2_pos = np.tile(np.append(s2_pos, s2_pos[::-1]), 9)
y_pos = np.tile(np.repeat(np.array([0, 0.5, 1.0, 1.0, 0.5, 0]), sp.size), 3)
z_pos = np.repeat(np.array([-2, -1, 0, 1, 2, 3]), sp.size * 3)
mask_func = lambda ps1, pz: ps1**2 + pz**2 <= 1
mask = mask_func(s1_pos, z_pos)
expected_s1 = s1_pos[mask]
expected_s2 = s2_pos[mask]
expected_y = y_pos[mask]
expected_z = z_pos[mask]
expected_positions = [{'s1':ps1, 's2':ps2, 'y':py, 'z':pz}
for (ps1, ps2, py, pz) in zip(expected_s1, expected_s2, expected_y, expected_z)]
positions = [point.positions for point in list(g.iterator())]
self.assertEqual(positions, expected_positions)
def test_three_dim_middle_alternates(self):
tg = LineGenerator("t", "mm", 1, 5, 5)
zg = LineGenerator("z", "mm", -1, 3, 5, True)
spiral = SpiralGenerator(["s1", "s2"], "mm", [1, 1], 2, 1, True)
yg = LineGenerator("y", "mm", 0, 4, 5)
xg = LineGenerator("x", "mm", 0, 4, 5)
r1 = CircularROI([0, 0], 1)
e1 = ROIExcluder([r1], ["s1", "z"])
e2 = ROIExcluder([r1], ["y", "x"])
g = CompoundGenerator([tg, zg, spiral, yg, xg], [e2, e1], [])
g.prepare()
it = 0
iz = 0
iy = 0
ix = 0
tzs = []
points = []
for t in range_(1, 6):
for z in (range_(-1, 4) if it % 2 == 0 else range_(3, -2, -1)):
s1p = spiral.positions["s1"] if iz % 2 == 0 else spiral.positions["s1"][::-1]
s2p = spiral.positions["s2"] if iz % 2 == 0 else spiral.positions["s2"][::-1]
points += [(x, y, s1, s2, z, t) for (s1, s2) in zip(s1p, s2p)
for y in range(0, 5) for x in range(0, 5)
if s1*s1 + z*z <= 1 and y*y + x*x <= 1]
iz += 1
it += 1
expected = [{"x":float(x), "y":float(y), "s1":s1, "s2":s2, "z":float(z), "t":float(t)}
for (x, y, s1, s2, z, t) in points]
actual = [p.positions for p in list(g.iterator())]
for e, a in zip(expected, actual):
self.assertEqual(e, a)
def test_complex_masks(self):
tg = LineGenerator("t", "mm", 1, 5, 5)
zg = LineGenerator("z", "mm", 0, 4, 5, alternate=True)
yg = LineGenerator("y", "mm", 1, 5, 5, alternate=True)
xg = LineGenerator("x", "mm", 2, 6, 5, alternate=True)
r1 = CircularROI([4., 4.], 1.5)
e1 = ROIExcluder([r1], ["y", "x"])
e2 = ROIExcluder([r1], ["z", "y"])
g = CompoundGenerator([tg, zg, yg, xg], [e1, e2], [])
g.prepare()
t_mask = [True] * 5
iy = 0
ix = 0
xyz_mask = []
xyz = []
for z in range_(0, 5):
for y in (range_(1, 6) if iy % 2 == 0 else range_(5, 0, -1)):
for x in (range_(2, 7) if ix % 2 == 0 else range_(6, 1, -1)):
xyz_mask.append( (x-4)**2 + (y-4)**2 <= 1.5**2 \
and (y-4)**2 + (z-4)**2 <= 1.5**2)
xyz.append((x, y, z))
ix += 1
iy += 1
self.assertEqual(t_mask, g.dimensions[0].mask.tolist())
self.assertEqual(xyz_mask, g.dimensions[1].mask.tolist())
def test_multi_roi_excluder(self):
x = LineGenerator("x", "mm", 0.0, 4.0, 5, alternate=True)
y = LineGenerator("y", "mm", 0.0, 3.0, 4)
circles = ROIExcluder(
[CircularROI([1.0, 2.0], 2.0),
CircularROI([1.0, 2.0], 2.0)], ["x", "y"])
expected_positions = [{
'x': 1.0,
'y': 0.0
}, {
'x': 2.0,
'y': 1.0
}, {
'x': 1.0,
'y': 1.0
}, {
'x': 0.0,
'y': 1.0
}, {
'x': 0.0,
'y': 2.0
}, {
'x': 1.0,
'y': 2.0
}, {
'x': 2.0,
'y': 2.0
}, {
'x': 3.0,
'y': 2.0
}, {
'x': 2.0,
'y': 3.0
}, {
'x': 1.0,
'y': 3.0
}, {
'x': 0.0,
'y': 3.0
}]
g = CompoundGenerator([y, x], [circles], [])
g.prepare()
positions = [point.positions for point in list(g.iterator())]
self.assertEqual(positions, expected_positions)
def test_double_spiral_scan(self):
line1 = LineGenerator(["l1"], "mm", -1, 2, 5)
spiral_s = SpiralGenerator(["s1", "s2"], "mm", [1, 2], 5, 2.5, True)
spiral_t = SpiralGenerator(["t1", "t2"], "mm", [0, 0], 5, 2.5, True)
line2 = LineGenerator(["l2"], "mm", -1, 2, 5, True)
r = CircularROI([0, 0], 1)
e1 = ROIExcluder([r], ["s1", "l1"])
e2 = ROIExcluder([r], ["l2", "t1"])
g = CompoundGenerator([line1, spiral_s, spiral_t, line2], [e1, e2], [])
g.prepare()
points = []
l1s = []
tl2 = []
s_f = True
for l1 in line1.positions["l1"]:
sp = zip(spiral_s.positions['s1'], spiral_s.positions['s2'])
sp = sp if s_f else list(sp)[::-1]
s_f = not s_f
l1s += [(s1, s2, l1) for (s1, s2) in sp]
l2_f = True
for (t1, t2) in zip(spiral_t.positions['t1'], spiral_t.positions['t2']):
l2p = line2.positions['l2'] if l2_f else line2.positions['l2'][::-1]
l2pu = line2.bounds['l2'][1:len(line2.positions['l2'])+1]
l2pl = line2.bounds['l2'][0:len(line2.positions['l2'])]
if not l2_f:
l2pu, l2pl = l2pl[::-1], l2pu[::-1]
l2_f = not l2_f
tl2 += [(l2, l2u, l2l, t1, t2) for (l2, l2u, l2l) in
zip(l2p, l2pu, l2pl) if l2*l2 + t1*t1 <= 1]
t_f = True
for (s1, s2, l1) in l1s:
inner = tl2 if t_f else tl2[::-1]
t_f = not t_f
points += [(l2, l2u, l2l, t1, t2, s1, s2, l1)
for (l2, l2u, l2l, t1, t2) in inner if s1*s1 + l1*l1 <= 1]
l1s_original = l1s
l1s = [(s1, s2, l1) for (s1, s2, l1) in l1s if s1*s1 + l1*l1 <= 1]
expected = [{"l2":l2, "t1":t1, "t2":t2, "s1":s1, "s2":s2, "l1":l1}
for (l2, l2u, l2l, t1, t2, s1, s2, l1) in points]
expected_idx = []
t_f = (l1s_original.index(l1s[0])) % 2 == 0 # t_f is False
for d1 in range_(len(l1s)):
expected_idx += [[d1, d2] for d2 in (range_(len(tl2)) if t_f else
range_(len(tl2) - 1, -1, -1))]
t_f = not t_f
expected_l2_lower = [l2l for (l2, l2u, l2l, t1, t2, s1, s2, l1) in points]
expected_l2_upper = [l2u for (l2, l2u, l2l, t1, t2, s1, s2, l1) in points]
gpoints = list(g.iterator())
self.assertEqual(expected, [p.positions for p in gpoints])
self.assertEqual(expected_idx, [p.indexes for p in gpoints])
self.assertEqual(expected_l2_lower, [p.lower["l2"] for p in gpoints])
self.assertEqual(expected_l2_upper, [p.upper["l2"] for p in gpoints])
def test_simple_mask(self):
x = LineGenerator("x", "mm", -1.0, 1.0, 5, False)
y = LineGenerator("y", "mm", -1.0, 1.0, 5, False)
r = CircularROI([0, 0], 1)
e = ROIExcluder([r], ["x", "y"])
g = CompoundGenerator([y, x], [e], [])
g.prepare()
p = [(x / 2., y / 2.) for y in range_(-2, 3) for x in range_(-2, 3)]
expected_mask = [x * x + y * y <= 1 for (x, y) in p]
self.assertEqual(expected_mask, g.dimensions[0].mask.tolist())
def test_200_million_time_constraint(self):
start_time = time.time()
s = SpiralGenerator(
["x", "y"], "mm", [0, 0], 6, 0.02, True) # ~2e5 points
z = LineGenerator("z", "mm", 0, 1, ZSIZE, True) #1e2 points or 1e1 for Jython
w = LineGenerator("w", "mm", 0, 1, 10, True) #1e1 points
r1 = CircularROI([-0.7, 4], 0.5)
r2 = CircularROI([0.5, 0.5], 0.3)
r3 = CircularROI([0.2, 4], 0.5)
e1 = ROIExcluder([r1], ["x", "y"])
e2 = ROIExcluder([r2], ["w", "z"])
e3 = ROIExcluder([r3], ["z", "y"])
om = RandomOffsetMutator(0, ["x", "y"], {"x":0.2, "y":0.2})
g = CompoundGenerator([w, z, s], [e1, e3, e2], [om])
g.prepare() # g.size ~3e5
end_time = time.time()
# if this test becomes problematic then we'll just have to remove it
self.assertLess(end_time - start_time, TIMELIMIT)
def test_prepare_with_regions(self):
x = LineGenerator("x", "mm", 0, 1, 5, False)
y = LineGenerator("y", "mm", 0, 1, 5, False)
circle = CircularROI([0., 0.], 1)
excluder = ROIExcluder([circle], ['x', 'y'])
g = CompoundGenerator([y, x], [excluder], [])
g.prepare()
self.assertEqual(1, len(g.dimensions))
self.assertEqual(["y", "x"], g.dimensions[0].axes)
expected_mask = [(x / 4.)**2 + (y / 4.)**2 <= 1 for y in range(0, 5)
for x in range(0, 5)]
self.assertEqual(expected_mask, g.dimensions[0].mask.tolist())
self.assertEqual((len([v for v in expected_mask if v]), ), g.shape)
def test_double_mask(self):
x = LineGenerator("x", "mm", -1.0, 1.0, 5, False)
y = LineGenerator("y", "mm", -1.0, 1.0, 5, False)
z = LineGenerator("z", "mm", -1.0, 1.0, 5, False)
r = CircularROI([0.1, 0.2], 1)
e1 = ROIExcluder([r], ["x", "y"])
e2 = ROIExcluder([r], ["y", "z"])
g = CompoundGenerator([z, y, x], [e1, e2], [])
g.prepare()
p = [(x / 2., y / 2., z / 2.) for z in range_(-2, 3)
for y in range_(-2, 3) for x in range_(-2, 3)]
m1 = [(x - 0.1)**2 + (y - 0.2)**2 <= 1 for (x, y, z) in p]
m2 = [(y - 0.1)**2 + (z - 0.2)**2 <= 1 for (x, y, z) in p]
expected_mask = [(b1 and b2) for (b1, b2) in zip(m1, m2)]
self.assertEqual(expected_mask, g.dimensions[0].mask.tolist())
def test_simple_mask_alternating(self):
x = LineGenerator("x", "mm", -1.0, 1.0, 5, alternate=True)
y = LineGenerator("y", "mm", -1.0, 1.0, 5, alternate=True)
r = CircularROI([0.5, 0], 1)
e = ROIExcluder([r], ["x", "y"])
g = CompoundGenerator([y, x], [e], [])
g.prepare()
reverse = False
p = []
for y in range_(-2, 3):
if reverse:
p += [(x / 2., y / 2.) for x in range_(2, -3, -1)]
else:
p += [(x / 2., y / 2.) for x in range_(-2, 3)]
reverse = not reverse
expected_mask = [(x - 0.5)**2 + y**2 <= 1**2 for (x, y) in p]
self.assertEqual(expected_mask, g.dimensions[0].mask.tolist())
def test_alternating_with_region(self):
y = LineGenerator("y", "mm", 1, 5, 5, True)
x = LineGenerator("x", "mm", 1, 5, 5, True)
r1 = CircularROI([3, 3], 1.5)
e1 = ROIExcluder([r1], ["y", "x"])
g = CompoundGenerator([y, x], [e1], [])
g.prepare()
expected = []
x_f = True
for y in range_(1, 6):
r = range_(1, 6) if x_f else range(5, 0, -1)
x_f = not x_f
for x in r:
expected.append({"y":float(y), "x":float(x)})
expected = [p for p in expected if
((p["x"]-3)**2 + (p["y"]-3)**2 <= 1.5**2)]
expected_idx = [[xy] for xy in range_(len(expected))]
points = list(g.iterator())
self.assertEqual(expected, [p.positions for p in points])
self.assertEqual(expected_idx, [p.indexes for p in points])
self.assertEqual((len(expected),), g.shape)
def test_get_point(self):
x = LineGenerator("x", "mm", -1., 1, 5, False)
y = LineGenerator("y", "mm", -1., 1, 5, False)
z = LineGenerator("z", "mm", -1., 1, 5, False)
r = CircularROI([0., 0.], 1)
e = ROIExcluder([r], ["x", "y"])
g = CompoundGenerator([z, y, x], [e], [])
g.prepare()
points = [g.get_point(n) for n in range(0, g.size)]
pos = [p.positions for p in points]
idx = [p.indexes for p in points]
xy_expected = [(x/2., y/2.) for y in range_(-2, 3)
for x in range_(-2, 3)]
xy_expected = [(x, y) for (x, y) in xy_expected
if x*x + y*y <= 1]
expected = [{"x":x, "y":y, "z":z/2.} for z in range_(-2, 3)
for (x, y) in xy_expected]
self.assertEqual(expected, pos)
expected_idx = [[z, xy] for z in range_(5)
for xy in range_(len(xy_expected))]
self.assertEqual(expected_idx, idx)
